The angular glint in the near field plays an important role on radar tracking errors. To predict it more efficiently for electrically large targets, a new method based on graphical electromagnetic computing （GRECO） ...The angular glint in the near field plays an important role on radar tracking errors. To predict it more efficiently for electrically large targets, a new method based on graphical electromagnetic computing （GRECO） is proposed. With the benefit of the graphic card, the GRECO prediction method is faster and more accurate than other methods. The proposed method at the first time considers the special case that the targets cannot be completely covered by radar beams, which makes the prediction of radar tracking errors more self-contained in practical circumstances. On the other hand, the process of the scattering center extraction is omitted, resulting in possible angular glint prediction in real time. Comparisons between the simulation results and the theoretical ones validate its correctness and value to academic research and engineering applications.展开更多
本文利用现代图形加速卡中GPU(Graphics Process Unit)的可编程管线,实现了图形电磁计算(GRECO)方法.与原有的方法相比,在利用物理光学和物理绕射理论的基础上,计算速度提高了20倍左右.并且利用GPU实现了射线追踪算法,用于目标上多次散...本文利用现代图形加速卡中GPU(Graphics Process Unit)的可编程管线,实现了图形电磁计算(GRECO)方法.与原有的方法相比,在利用物理光学和物理绕射理论的基础上,计算速度提高了20倍左右.并且利用GPU实现了射线追踪算法,用于目标上多次散射的计算,使得GRECO方法可以快速计算具有凹腔结构目标的电磁散射.本方法对于目标识别和逆合成孔径成像等方面的研究具有重要的应用价值.展开更多
基金supported by the National Natural Science Foundation of China (60871069)
文摘The angular glint in the near field plays an important role on radar tracking errors. To predict it more efficiently for electrically large targets, a new method based on graphical electromagnetic computing （GRECO） is proposed. With the benefit of the graphic card, the GRECO prediction method is faster and more accurate than other methods. The proposed method at the first time considers the special case that the targets cannot be completely covered by radar beams, which makes the prediction of radar tracking errors more self-contained in practical circumstances. On the other hand, the process of the scattering center extraction is omitted, resulting in possible angular glint prediction in real time. Comparisons between the simulation results and the theoretical ones validate its correctness and value to academic research and engineering applications.
文摘本文利用现代图形加速卡中GPU(Graphics Process Unit)的可编程管线,实现了图形电磁计算(GRECO)方法.与原有的方法相比,在利用物理光学和物理绕射理论的基础上,计算速度提高了20倍左右.并且利用GPU实现了射线追踪算法,用于目标上多次散射的计算,使得GRECO方法可以快速计算具有凹腔结构目标的电磁散射.本方法对于目标识别和逆合成孔径成像等方面的研究具有重要的应用价值.
